Instructions to use gogamza/kobart-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gogamza/kobart-base-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="gogamza/kobart-base-v1")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("gogamza/kobart-base-v1") model = AutoModel.from_pretrained("gogamza/kobart-base-v1") - Notebooks
- Google Colab
- Kaggle
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README.md
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```python
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from transformers import
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tokenizer = PreTrainedTokenizerFast.from_pretrained('gogamza/kobart-base-v1')
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model = BartModel.from_pretrained('gogamza/kobart-base-v1')
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```python
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from transformers import PreTrainedTokenizerFast, BartModel
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tokenizer = PreTrainedTokenizerFast.from_pretrained('gogamza/kobart-base-v1')
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model = BartModel.from_pretrained('gogamza/kobart-base-v1')
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